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Drop 3/14: Our Conversational Agents platform, Samvaad, now powers over a million minutes of interactions daily. Every month our TAM estimates keep increasing as we discover new use cases, not thought possible earlier - population scale outreaches, hybrid onboarding journeys over phone and WhatsApp, 24*7 sales assistants, ... Here...

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Pratyush Kumar

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102,966 просмотров • 6 месяцев назад •via X (Twitter)

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Today, we're thrilled to announce our $125M Series C funding round at a $1.5B valuation, led by Meritech Capital, marking our third successful raise in just 12 months! fal’s Generative Media Cloud now powers tens of thousands of applications, supporting over two million developers and more than 300 enterprise customers. From initial prototypes to fully scaled production, we've become the essential infrastructure enabling some of the most innovative and creative work in the industry. Over the past year alone, we've experienced extraordinary growth—averaging 40% month-over-month, consistently exceeding our own ambitious projections. Each month, hundreds of thousands of new developers and thousands of fresh applications join our platform, unlocking entirely new use cases previously thought impossible. With this latest round of funding, we're significantly scaling our engineering, support, sales, and marketing teams to keep pace with the accelerating demand and enthusiasm from our community. Our vision has always been clear: build a generative media platform that effortlessly creates dynamic, real-time content across video, audio, image, and 3D. Thanks to our incredible team, dedicated partners, and visionary customers, that's precisely what fal delivers today—empowering creativity at unprecedented scale.
1:34

Today, we're thrilled to announce our $125M Series C funding round at a $1.5B valuation, led by Meritech Capital, marking our third successful raise in just 12 months! fal’s Generative Media Cloud now powers tens of thousands of applications, supporting over two million developers and more than 300 enterprise customers. From initial prototypes to fully scaled production, we've become the essential infrastructure enabling some of the most innovative and creative work in the industry. Over the past year alone, we've experienced extraordinary growth—averaging 40% month-over-month, consistently exceeding our own ambitious projections. Each month, hundreds of thousands of new developers and thousands of fresh applications join our platform, unlocking entirely new use cases previously thought impossible. With this latest round of funding, we're significantly scaling our engineering, support, sales, and marketing teams to keep pace with the accelerating demand and enthusiasm from our community. Our vision has always been clear: build a generative media platform that effortlessly creates dynamic, real-time content across video, audio, image, and 3D. Thanks to our incredible team, dedicated partners, and visionary customers, that's precisely what fal delivers today—empowering creativity at unprecedented scale.

fal

1,450,699 просмотров • 1 год назад

VIDEO | "We have been working for over nine years and she (Swati Maliwal) has been our chairperson. Under her and the CM's leadership, we have taken DCW to new heights. We get cases from all states and it has been possible because of our government's support. Two months ago, she called a press conference and said that LG is responsible for blocking our funds and now suddenly you are blaming the government. We are members and we have not received our salary for over four months. We have suffered a lot and it is my request to everyone to not involve us in politics," says DCW member Kiren Negi. (Full videos available on PTI Videos -
2:55

VIDEO | "We have been working for over nine years and she (Swati Maliwal) has been our chairperson. Under her and the CM's leadership, we have taken DCW to new heights. We get cases from all states and it has been possible because of our government's support. Two months ago, she called a press conference and said that LG is responsible for blocking our funds and now suddenly you are blaming the government. We are members and we have not received our salary for over four months. We have suffered a lot and it is my request to everyone to not involve us in politics," says DCW member Kiren Negi. (Full videos available on PTI Videos -

Press Trust of India

15,228 просмотров • 2 лет назад

new chapter begins: a terminal for the agentic future, built on blockchain, powered by AI. This is our marketplace—a glimpse of what AGI will mean for crypto. Today, we launch 3 agents—Image Generation, Token Swap Agent, & Blockchain Tax Estimate Agent—out of hundreds to come. We see an agentic future where AI guides every step: buying online, managing finances, transacting globally. FOMO’s here to make that real, with experts at your side. Our Model Context Protocol (MCP) ties it together—agents talking, reasoning, scaling across crypto and DeFi. It’s orchestration with a brain, evolving daily. FOMO’s not just building tools; we’re pushing intelligent automation into blockchain’s core. Our Model Context Protocol (MCP) is the backbone. Think of it as a conductor for AI agents—each runs its own logic (workflows, API calls, LLMs), but MCP syncs them on-chain. Agents share context via a lightweight event bus, logged to a blockchain ledger. Agent A (say, Market Analysis) pulls stock data, flags trends. Agent B (Email Sales) reads that, drafts outreach—both talk through MCP’s orchestration layer. We use Web3 hooks to settle fees or split revenue, all transparent. It’s messy, but it scales. Under the hood: MCP leans on a pub-sub model—agents publish tasks, others subscribe. We’re training them with RL loops to optimize gas costs and response times. Goal? A self-tuning swarm of agents reasoning over DeFi, NFTs, whatever’s next. This is FOMO’s bet on AGI. Welcome to the new FOMO. We’re not just building tools—we’re wiring AI into crypto’s future, agent by agent. A leader in blockchain intelligence, starting here. Join us as we push the boundaries.
1:16

new chapter begins: a terminal for the agentic future, built on blockchain, powered by AI. This is our marketplace—a glimpse of what AGI will mean for crypto. Today, we launch 3 agents—Image Generation, Token Swap Agent, & Blockchain Tax Estimate Agent—out of hundreds to come. We see an agentic future where AI guides every step: buying online, managing finances, transacting globally. FOMO’s here to make that real, with experts at your side. Our Model Context Protocol (MCP) ties it together—agents talking, reasoning, scaling across crypto and DeFi. It’s orchestration with a brain, evolving daily. FOMO’s not just building tools; we’re pushing intelligent automation into blockchain’s core. Our Model Context Protocol (MCP) is the backbone. Think of it as a conductor for AI agents—each runs its own logic (workflows, API calls, LLMs), but MCP syncs them on-chain. Agents share context via a lightweight event bus, logged to a blockchain ledger. Agent A (say, Market Analysis) pulls stock data, flags trends. Agent B (Email Sales) reads that, drafts outreach—both talk through MCP’s orchestration layer. We use Web3 hooks to settle fees or split revenue, all transparent. It’s messy, but it scales. Under the hood: MCP leans on a pub-sub model—agents publish tasks, others subscribe. We’re training them with RL loops to optimize gas costs and response times. Goal? A self-tuning swarm of agents reasoning over DeFi, NFTs, whatever’s next. This is FOMO’s bet on AGI. Welcome to the new FOMO. We’re not just building tools—we’re wiring AI into crypto’s future, agent by agent. A leader in blockchain intelligence, starting here. Join us as we push the boundaries.

FOMO

26,338 просмотров • 1 год назад

Introducing Einstein Sales Agent on Salesforce's new Agentforce Platform! Scale your sales force easily with autonomous sales agents! Sales agents can turn deals over to humans directly in Salesforce Sales Cloud! Humans with AI drive customer success, together. 🔹 24/7 automated pipeline nurturing 🔹 Personalized engagement with inbound leads using trusted CRM data 🔹 Seamless transitions and human handoffs across all channels 🔹 No need for complex conversational scripts 🔹 Operates across sales, service, marketing, and commerce 🔹 Reaches leads on their preferred channel, in their preferred language 🔹 Configurable with sales strategies and knowledge, just like training a seller 🔹 Transparent governance dashboards for full oversight 🔹 Extensible low-code tools 🔹 MuleSoft for cross-system actions 🔹 Real-time, harmonized data with Data Cloud See Einstein Sales Agents in action at Dreamforce 2024! Now everyone is an Einstein. ❤️
3:11

Introducing Einstein Sales Agent on Salesforce's new Agentforce Platform! Scale your sales force easily with autonomous sales agents! Sales agents can turn deals over to humans directly in Salesforce Sales Cloud! Humans with AI drive customer success, together. 🔹 24/7 automated pipeline nurturing 🔹 Personalized engagement with inbound leads using trusted CRM data 🔹 Seamless transitions and human handoffs across all channels 🔹 No need for complex conversational scripts 🔹 Operates across sales, service, marketing, and commerce 🔹 Reaches leads on their preferred channel, in their preferred language 🔹 Configurable with sales strategies and knowledge, just like training a seller 🔹 Transparent governance dashboards for full oversight 🔹 Extensible low-code tools 🔹 MuleSoft for cross-system actions 🔹 Real-time, harmonized data with Data Cloud See Einstein Sales Agents in action at Dreamforce 2024! Now everyone is an Einstein. ❤️

Marc Benioff

56,695 просмотров • 2 лет назад

10 years. +10,000 engines delivered. +100 million flight hours. A decade ago, the #CFMLEAP engine entered commercial service. 10 years later, reaching these milestones is a testament to the journey we’re building together with our 150+ airline customers and airframers. Maturing a new engine program at this scale comes with continuous effort. Every hour logged and every engine delivered represents the daily hard work of our teams Safran and GE Aerospace, working hand-in-hand with operators worldwide to support their fleets and improve reliability every day. Thank you to our customers and partners for their trust and collaboration as we keep working to support the fleet. ✈️
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10 years. +10,000 engines delivered. +100 million flight hours. A decade ago, the #CFMLEAP engine entered commercial service. 10 years later, reaching these milestones is a testament to the journey we’re building together with our 150+ airline customers and airframers. Maturing a new engine program at this scale comes with continuous effort. Every hour logged and every engine delivered represents the daily hard work of our teams Safran and GE Aerospace, working hand-in-hand with operators worldwide to support their fleets and improve reliability every day. Thank you to our customers and partners for their trust and collaboration as we keep working to support the fleet. ✈️

CFM International

15,179 просмотров • 15 дней назад

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:
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📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:

AITECH CLOUD NETWORK

599,013 просмотров • 1 год назад

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.
0:43

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

Aaron Levie

17,543 просмотров • 4 месяцев назад

BREAKING: our AI Agents can now deep-research 10,000 accounts faster (and cheaper) than an Uber from JFK. Last month our growth team pushed this hard: 40,000 accounts deep-researched for product launches → personalized outreach → 15+ meetings and a closed-won in 30 days. Most GTM teams don’t lack ideas. They struggle with the cost and complexity of running them at scale. Kunal , who leads our agent infrastructure, saw this firsthand. Adoption climbed past 1M runs per month, but cost was still the ceiling on pushing always-on workflows. After months of evaluating models against real customer workflows, Kunal & team shipped a major upgrade: Optimized agents with peak performance at a 10x cost reduction. Always-on intelligence in outbound becomes practical, not theoretical. What this unlocks: If you’re a cybersecurity company, Unify’s optimized agents can: (1) Monitor your entire TAM for breaches (2) Auto-qualify accounts if they’re B2B + using Auth0 (3) Use real breach context to write outbound that’s timely, relevant, human No manual research. No painful copywriting. No cost tradeoffs. The future of GTM is deploying 100,000 deep-research agents daily to understand every shift in your market. That future is closer than people think.
3:17

BREAKING: our AI Agents can now deep-research 10,000 accounts faster (and cheaper) than an Uber from JFK. Last month our growth team pushed this hard: 40,000 accounts deep-researched for product launches → personalized outreach → 15+ meetings and a closed-won in 30 days. Most GTM teams don’t lack ideas. They struggle with the cost and complexity of running them at scale. Kunal , who leads our agent infrastructure, saw this firsthand. Adoption climbed past 1M runs per month, but cost was still the ceiling on pushing always-on workflows. After months of evaluating models against real customer workflows, Kunal & team shipped a major upgrade: Optimized agents with peak performance at a 10x cost reduction. Always-on intelligence in outbound becomes practical, not theoretical. What this unlocks: If you’re a cybersecurity company, Unify’s optimized agents can: (1) Monitor your entire TAM for breaches (2) Auto-qualify accounts if they’re B2B + using Auth0 (3) Use real breach context to write outbound that’s timely, relevant, human No manual research. No painful copywriting. No cost tradeoffs. The future of GTM is deploying 100,000 deep-research agents daily to understand every shift in your market. That future is closer than people think.

Austin Hughes

41,139 просмотров • 8 месяцев назад

Today, we're announcing the next evolution of Sword Thrive: a fully revamped experience anchored by a new conversational care model, Vision AI, and a more powerful Phoenix. At the center of this evolution is a first-of-its-kind care model: a 3-way chat connecting the member, Phoenix, and their Doctor of Physical Therapy in a single interface, making continuous, 24/7 care possible for the first time, with the clinical oversight only a human specialist can provide. Vision AI, our proprietary technology trained on years of movement data, now delivers precise movement detection in real-world home environments - cluttered, noisy, and everything in between - and runs entirely through the Sword Health app on smartphones and tablets. Phoenix, our AI Care Specialist, is now more capable as well, providing deeper, personalized two-way conversational guidance and real-time form correction, adapting to each member as they move. From proactive care to continuous recovery, this is how healthcare should show up: with reliability, clinical memory, and real-time support that never drops the thread. Watch the video to see it in action:
3:06

Today, we're announcing the next evolution of Sword Thrive: a fully revamped experience anchored by a new conversational care model, Vision AI, and a more powerful Phoenix. At the center of this evolution is a first-of-its-kind care model: a 3-way chat connecting the member, Phoenix, and their Doctor of Physical Therapy in a single interface, making continuous, 24/7 care possible for the first time, with the clinical oversight only a human specialist can provide. Vision AI, our proprietary technology trained on years of movement data, now delivers precise movement detection in real-world home environments - cluttered, noisy, and everything in between - and runs entirely through the Sword Health app on smartphones and tablets. Phoenix, our AI Care Specialist, is now more capable as well, providing deeper, personalized two-way conversational guidance and real-time form correction, adapting to each member as they move. From proactive care to continuous recovery, this is how healthcare should show up: with reliability, clinical memory, and real-time support that never drops the thread. Watch the video to see it in action:

Sword Health

27,974 просмотров • 5 месяцев назад

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇
0:59

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 просмотров • 6 месяцев назад

Multi-agent systems offer incredible potential and unprecedented risks. How do you solve for observability, failure mode analysis, and guardrailing in the era of agents? Today, we’re announcing our Agent Reliability platform to observe, evaluate, guardrail, and improve agents at scale. You can get started with the complete platform for trustworthy agentic AI today for free, and here’s how we’re solving some of the biggest challenges in agent reliability: - Observability redesigned for agents Trace views collapse under complex workflows, so we created the Graph View, Timeline View, and Conversation View to offer rich, intuitive visualizations of agent decisions, tool calls, and conversation flows. This multi-dimensional approach enables teams to pinpoint exactly where and why agents deviate or fail. - Automated Failure Mode Analysis with our new Insights Engine Our Insights Engine ingests your logs, metrics, and agent code to automatically surface nuanced failure modes and their root causes. But knowing the problem is not enough; you need to know how to fix it. Insights Engine delivers actionable fixes and can even apply them automatically. With adaptive learning, your insights become smarter and more relevant as your agents evolve. - Evaluating Agents Across Multiple Dimensions Agentic systems interact across complex pathways, and evaluating their performance requires new metrics that reflect this increasing complexity. To deliver comprehensive agentic measurements, we’ve added more out-of-the-box agent metrics like flow adherence, agent flow, agent efficiency, and more. For specialized domains and unique workflows, custom metrics powered by our new Luna-2 small language models can be rapidly designed and fine-tuned for your specific use case. - Real-Time Guardrails Powered by Luna-2 As AI agents become more autonomous and complex, failures like hallucinations or unsafe actions increase dramatically. Without real-time guardrails, these errors will hurt your user experience and brand reputation. Our Luna-2 family of small language models is purpose-built to provide low-latency, cost-effective guardrails that actively stop agent errors before they happen. With support for out-of-the-box and custom metrics, Luna-2 enables enterprises to enforce safety, compliance, and reliability at scale. Enterprises running hundreds of agents and processing hundreds of millions of queries daily already rely on Galileo’s Agent Reliability platform to protect their users, safeguard brand trust, and accelerate innovation. Agent Reliability is available starting today. Try it for free and experience the new standard in AI reliability. Learn more below 👇
2:43

Multi-agent systems offer incredible potential and unprecedented risks. How do you solve for observability, failure mode analysis, and guardrailing in the era of agents? Today, we’re announcing our Agent Reliability platform to observe, evaluate, guardrail, and improve agents at scale. You can get started with the complete platform for trustworthy agentic AI today for free, and here’s how we’re solving some of the biggest challenges in agent reliability: - Observability redesigned for agents Trace views collapse under complex workflows, so we created the Graph View, Timeline View, and Conversation View to offer rich, intuitive visualizations of agent decisions, tool calls, and conversation flows. This multi-dimensional approach enables teams to pinpoint exactly where and why agents deviate or fail. - Automated Failure Mode Analysis with our new Insights Engine Our Insights Engine ingests your logs, metrics, and agent code to automatically surface nuanced failure modes and their root causes. But knowing the problem is not enough; you need to know how to fix it. Insights Engine delivers actionable fixes and can even apply them automatically. With adaptive learning, your insights become smarter and more relevant as your agents evolve. - Evaluating Agents Across Multiple Dimensions Agentic systems interact across complex pathways, and evaluating their performance requires new metrics that reflect this increasing complexity. To deliver comprehensive agentic measurements, we’ve added more out-of-the-box agent metrics like flow adherence, agent flow, agent efficiency, and more. For specialized domains and unique workflows, custom metrics powered by our new Luna-2 small language models can be rapidly designed and fine-tuned for your specific use case. - Real-Time Guardrails Powered by Luna-2 As AI agents become more autonomous and complex, failures like hallucinations or unsafe actions increase dramatically. Without real-time guardrails, these errors will hurt your user experience and brand reputation. Our Luna-2 family of small language models is purpose-built to provide low-latency, cost-effective guardrails that actively stop agent errors before they happen. With support for out-of-the-box and custom metrics, Luna-2 enables enterprises to enforce safety, compliance, and reliability at scale. Enterprises running hundreds of agents and processing hundreds of millions of queries daily already rely on Galileo’s Agent Reliability platform to protect their users, safeguard brand trust, and accelerate innovation. Agent Reliability is available starting today. Try it for free and experience the new standard in AI reliability. Learn more below 👇

Galileo

1,276,298 просмотров • 1 год назад

As of today, nearly 30,000 proud British Patriots have joined the Patriot Platform Resistance Movement. We are done waiting. For too long, we have tried the same ineffective approaches and watched politicians and authorities fail in their fundamental duty to protect our country and our people. No more. When you join the Patriot Platform, you become part of something far greater than a movement, you become part of a family. A family that looks out for one another, stands together, and provides real protection for our communities. We will push back hard against anything and anyone that threatens our way of life, our safety, or our future. Rooted unapologetically in our Christian heritage, we will defend British communities wherever we are needed. We will send a clear, strong, and uncompromising message to those who have failed us: your time of neglect and betrayal is over. This is not just talk. This is action. Become part of the Patriot Platform today Sign up now and remember to add +44 at the start of your phone number. Read, understand, and support the resistance movement here - it lays out exactly where we go from here and how we will win. God bless you all. ✝️ God bless the United Kingdom. 🇬🇧
6:21

As of today, nearly 30,000 proud British Patriots have joined the Patriot Platform Resistance Movement. We are done waiting. For too long, we have tried the same ineffective approaches and watched politicians and authorities fail in their fundamental duty to protect our country and our people. No more. When you join the Patriot Platform, you become part of something far greater than a movement, you become part of a family. A family that looks out for one another, stands together, and provides real protection for our communities. We will push back hard against anything and anyone that threatens our way of life, our safety, or our future. Rooted unapologetically in our Christian heritage, we will defend British communities wherever we are needed. We will send a clear, strong, and uncompromising message to those who have failed us: your time of neglect and betrayal is over. This is not just talk. This is action. Become part of the Patriot Platform today Sign up now and remember to add +44 at the start of your phone number. Read, understand, and support the resistance movement here - it lays out exactly where we go from here and how we will win. God bless you all. ✝️ God bless the United Kingdom. 🇬🇧

Danny Tommo

126,947 просмотров • 2 месяцев назад

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail
3:02

Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

LangChain

33,192 просмотров • 1 год назад

"Intelligence isn't the boundary anymore. Safety is what's actually constraining agents." I had a great conversation with tusharjain, Head of Engineering at Docker, at our AI Engineer booth. Tushar leads engineering at Docker, the containerization platform millions of developers use to package and ship software, and his team is now rebuilding that engine into a runtime for AI agents with safety built in. Fresh off his talk, we got into: 00:57 - Why safety, not intelligence, is the real constraint on agents 02:00 - The three pillars: contain agents, scope their tools, layer on policy 04:04 - Background agents and the "laptops half open so the agent doesn't die" problem 08:13 - Going 100% agents on Docker's own engineering team 11:28 - Agent identity: you can fire a human, but not their agent Thanks for coming to the Browserbase booth!
14:13

"Intelligence isn't the boundary anymore. Safety is what's actually constraining agents." I had a great conversation with tusharjain, Head of Engineering at Docker, at our AI Engineer booth. Tushar leads engineering at Docker, the containerization platform millions of developers use to package and ship software, and his team is now rebuilding that engine into a runtime for AI agents with safety built in. Fresh off his talk, we got into: 00:57 - Why safety, not intelligence, is the real constraint on agents 02:00 - The three pillars: contain agents, scope their tools, layer on policy 04:04 - Background agents and the "laptops half open so the agent doesn't die" problem 08:13 - Going 100% agents on Docker's own engineering team 11:28 - Agent identity: you can fire a human, but not their agent Thanks for coming to the Browserbase booth!

Shubhankar

20,947 просмотров • 23 дней назад

Under the Biden administration, we saw 13 million illegal border crossers, 370,000 in a single month, and 3 million in a year. Even a violent illegal alien identifying as “transgender” who raped a 14-year-old boy in a New York City sanctuary bathroom!! Thanks to Sec. Noem and Tom Homan, those disastrous days are OVER. We now have the safest, most secure border in history with: ➡️ ZERO releases for 7 straight months ➡️ 95% fewer apprehensions ➡️ 40% fewer encounters than Biden’s monthly average This is what REAL border security looks like.
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Under the Biden administration, we saw 13 million illegal border crossers, 370,000 in a single month, and 3 million in a year. Even a violent illegal alien identifying as “transgender” who raped a 14-year-old boy in a New York City sanctuary bathroom!! Thanks to Sec. Noem and Tom Homan, those disastrous days are OVER. We now have the safest, most secure border in history with: ➡️ ZERO releases for 7 straight months ➡️ 95% fewer apprehensions ➡️ 40% fewer encounters than Biden’s monthly average This is what REAL border security looks like.

Former Congresswoman Marjorie Taylor Greene🇺🇸

176,728 просмотров • 8 месяцев назад

Just slightly over three weeks ago - 24 days to be precise, I presented the 2025 budget proposals to the joint session of the National Assembly themed, “2025 Budget of Restoration: Securing Peace, Rebuilding Prosperity” As I said to our Federal Legislators, we are building a Nigeria where peace reigns, opportunities abound, and every citizen can dream, work, and thrive in safety. We have to move forward, not as individuals but as one united nation, determined to rewrite our story for the generations to come. To quote a section of my speech that speaks to our outlook for the future of our great nation, Nigeria, “The time for lamentation is over. This is a time to act. A time to support and promote greater investment in the private sector. A time for every Nigerian to look hopefully towards a brighter future because a new day has dawned for us as a nation.” Together, we have embarked on a journey of transformation and reform, and while the road has not been easy, the progress we have made is undeniable.” ~ PBAT
3:09

Just slightly over three weeks ago - 24 days to be precise, I presented the 2025 budget proposals to the joint session of the National Assembly themed, “2025 Budget of Restoration: Securing Peace, Rebuilding Prosperity” As I said to our Federal Legislators, we are building a Nigeria where peace reigns, opportunities abound, and every citizen can dream, work, and thrive in safety. We have to move forward, not as individuals but as one united nation, determined to rewrite our story for the generations to come. To quote a section of my speech that speaks to our outlook for the future of our great nation, Nigeria, “The time for lamentation is over. This is a time to act. A time to support and promote greater investment in the private sector. A time for every Nigerian to look hopefully towards a brighter future because a new day has dawned for us as a nation.” Together, we have embarked on a journey of transformation and reform, and while the road has not been easy, the progress we have made is undeniable.” ~ PBAT

Bola Ahmed Tinubu

121,495 просмотров • 1 год назад

We're announcing the most significant new strategic development since the start of the Customer Agent category: Fin now has specialized roles. And starting today anyone can sign up for and deploy the Fin Sales Role in minutes. Fin is now by far the very best sales agent on the market, and it's been live with some of the most innovative digital brands for months, conversing with thousands of prospects, aiding discovery, building pipeline, booking meetings and starting trials. We started the Customer Agent category with a focus on service by launching Fin three months after the launch of ChatGPT. Since then Fin has continued to lead the space, today delivering over 2 million resolutions a week for over 8k customers, including Anthropic, DoorDash, Snowflake, Asana, Mercury, Polymarket and many more exceptional brands. But our vision for Fin has always stretched far beyond service. And for the past 6 months we’ve been building Fin as a single Customer Agent, delivering a seamless experience across all stages of the customer lifecycle. We do not believe customers or businesses will want multiple agents for different parts of the lifecycle—because the agents won’t have shared memory and goals, and will have to compete with each other, delivering a poor customer experience and sub-optimal business results. We’ve more roles to come, including another dropping in two weeks. For now please watch our launch video or visit our launch page to learn more: fin DOT ai SLASH sales
8:44

We're announcing the most significant new strategic development since the start of the Customer Agent category: Fin now has specialized roles. And starting today anyone can sign up for and deploy the Fin Sales Role in minutes. Fin is now by far the very best sales agent on the market, and it's been live with some of the most innovative digital brands for months, conversing with thousands of prospects, aiding discovery, building pipeline, booking meetings and starting trials. We started the Customer Agent category with a focus on service by launching Fin three months after the launch of ChatGPT. Since then Fin has continued to lead the space, today delivering over 2 million resolutions a week for over 8k customers, including Anthropic, DoorDash, Snowflake, Asana, Mercury, Polymarket and many more exceptional brands. But our vision for Fin has always stretched far beyond service. And for the past 6 months we’ve been building Fin as a single Customer Agent, delivering a seamless experience across all stages of the customer lifecycle. We do not believe customers or businesses will want multiple agents for different parts of the lifecycle—because the agents won’t have shared memory and goals, and will have to compete with each other, delivering a poor customer experience and sub-optimal business results. We’ve more roles to come, including another dropping in two weeks. For now please watch our launch video or visit our launch page to learn more: fin DOT ai SLASH sales

Eoghan McCabe

73,404 просмотров • 3 месяцев назад